Bolun Wang

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Ben Y. ZhaoNeubauer Professor of Computer Science, University of ChicagoVerified email at uchicago.edu
Haitao ZhengNeubauer Professor of Computer Science, University of ChicagoVerified email at cs.uchicago.edu
Gang WangAssistant Professor, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Tianyi WangByteDanceVerified email at bytedance.com
Bimal ViswanathAssistant Professor of Computer Science at Virginia TechVerified email at cs.vt.edu
Shawn ShanUniversity of ChicagoVerified email at cs.uchicago.edu
Yuanshun (Kevin) YaoByteDance AI LabVerified email at bytedance.com
Ana NikaSenior Software Engineer at MicrosoftVerified email at microsoft.com
Huiying LiUniversity of ChicagoVerified email at uchicago.edu
Zengbin ZhangUniversity of California, Santa BarbaraVerified email at cs.ucsb.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Xinyi ZhangFacebookVerified email at cs.ucsb.edu
Emily WengerUniversity of ChicagoVerified email at uchicago.edu
Neal MangaokarPh.D. Precandidate, University of Michigan, Ann ArborVerified email at umich.edu
Jiameng PuVirginia TechVerified email at vt.edu
Zhijing LiFacebookVerified email at cs.ucsb.edu
Yang ChenAssociate Professor, School of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Xing LiTsinghua UniversityVerified email at cernet.edu.cn
Parantapa BhattacharyaResearch Scientist, Biocomplexity Institute & Initiative, University of VirginiaVerified email at virginia.edu
Chandan K. ReddyProfessor, Computer Science, Virginia TechVerified email at cs.vt.edu

Bolun Wang

ByteDance

Verified email at bytedance.com - Homepage

Data Mining Security Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural cleanse: Identifying and mitigating backdoor attacks in neural networks B Wang, Y Yao, S Shan, H Li, B Viswanath, H Zheng, BY Zhao 2019 IEEE Symposium on Security and Privacy (SP), 707-723, 2019	611	2019
Defending against Sybil Devices in Crowdsourced Mapping Services G Wang, B Wang, T Wang, A Nika, H Zheng, BY Zhao Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016	124	2016
Whispers in the dark: analysis of an anonymous social network G Wang, B Wang, T Wang, A Nika, H Zheng, BY Zhao Proceedings of the 2014 Conference on Internet Measurement Conference, 137-150, 2014	121	2014
With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning B Wang, Y Yao, B Viswanath, H Zheng, BY Zhao 27th {USENIX} Security Symposium ({USENIX} Security 18), 1281-1297, 2018	90	2018
Anatomy of a personalized livestreaming system B Wang, X Zhang, G Wang, H Zheng, BY Zhao Proceedings of the 2016 Internet Measurement Conference, 485-498, 2016	82	2016
Crowds on Wall Street: Extracting Value from Collaborative Investing Platforms G Wang, T Wang, B Wang, D Sambasivan, Z Zhang, H Zheng, BY Zhao Proceedings of the 18th ACM Conference on Computer Supported Cooperative …, 2015	81*	2015
Complexity vs. performance: empirical analysis of machine learning as a service Y Yao, Z Xiao, B Wang, B Viswanath, H Zheng, BY Zhao Proceedings of the 2017 Internet Measurement Conference, 384-397, 2017	74	2017
Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks S Shan, E Wenger, B Wang, B Li, H Zheng, BY Zhao Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020	43*	2020
Ghost riders: Sybil attacks on crowdsourced mobile mapping services G Wang, B Wang, T Wang, A Nika, H Zheng, BY Zhao IEEE/ACM transactions on networking 26 (3), 1123-1136, 2018	35	2018
Scaling Deep Learning Models for Spectrum Anomaly Detection Z Li, Z Xiao, B Wang, BY Zhao, H Zheng Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019	23	2019
Value and misinformation in collaborative investing platforms T Wang, G Wang, B Wang, D Sambasivan, Z Zhang, X Li, H Zheng, ... ACM Transactions on the Web (TWEB) 11 (2), 1-32, 2017	15	2017
The power of comments: fostering social interactions in microblog networks T Wang, Y Chen, Y Wang, B Wang, G Wang, X Li, H Zheng, BY Zhao Frontiers of Computer Science 10 (5), 889-907, 2016	13	2016
Using honeypots to catch adversarial attacks on neural networks S Shan Proceedings of the 8th ACM Workshop on Moving Target Defense, 25-25, 2021	9	2021
Deepfake Videos in the Wild: Analysis and Detection J Pu, N Mangaokar, L Kelly, P Bhattacharya, K Sundaram, M Javed, ... Proceedings of the Web Conference 2021, 981-992, 2021	9	2021
NoiseScope: Detecting Deepfake Images in a Blind Setting J Pu, N Mangaokar, B Wang, CK Reddy, B Viswanath Annual Computer Security Applications Conference, 913-927, 2020	8	2020
Wireless Side-Lobe Eavesdropping Attacks Y Zhu, Y Ju, B Wang, J Cryan, BY Zhao, H Zheng arXiv preprint arXiv:1810.10157, 2018	5	2018
Go a Catch’Em All: Using Honeypots to Catch Adversarial A acks on Neural Networks S Shan, E Wenger, B Wang, B Li, H Zheng, BY Zhao		2020
Improving and Securing Machine Learning Systems B Wang University of California, Santa Barbara, 2018		2018

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